Embed with customers to modernize legacy data estates, build scalable data platforms, and deploy production ML, GenAI, RAG, and agentic AI solutions. Own end-to-end delivery across data discovery, schema design, pipelines, model integration, MLOps, orchestration, and evaluation. Lead architectural modernization, apply spec-driven AI-assisted development, and enable customer teams through knowledge transfer. The role requires strong customer-facing communication, polyglot engineering expertise, cloud infrastructure experience, and occasional travel.

Designs and leads cloud data platforms, ETL/ELT pipelines, batch and real-time processing systems, data lakes, warehouses, AI/ML, and MLOps solutions. Provides technical leadership to data engineers, leads architecture and discovery sessions, manages technical roadmaps and scope, identifies risks, and advises customers. Requires strong cloud, programming, database, data governance, compliance, consulting, documentation, mentoring, and customer-facing delivery expertise.

Provides strategic technical leadership and consulting across data analytics, AI, machine learning, data governance, and cloud platforms. Acts as a trusted advisor to enterprise clients, supports presales and statements of work, oversees technical delivery, budgets, timelines, and customer outcomes, and contributes to thought leadership. May manage architects and engineers, including mentoring, recruiting, onboarding, performance support, and team development.